{"id":"W6973683408","doi":"10.57907/mirri/kvptyt","title":"MIRRI0044008","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Organism; Identification (biology); Taxonomy (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008326297,0.0009412969,0.0008645323,0.0006352667,0.0003350773,0.0001478748,0.001835472,0.000468914,0.9989704],"category_scores_gemma":[0.00058862,0.001008735,0.0005393663,0.0006091659,0.0001135648,0.0001238257,0.001192366,0.001876615,0.9842569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008052714,"about_ca_system_score_gemma":0.000706965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001283667,"about_ca_topic_score_gemma":0.000399961,"domain_scores_codex":[0.9944926,0.0006557635,0.0009078759,0.001343793,0.001525028,0.001074943],"domain_scores_gemma":[0.9959486,0.000319574,0.0007593267,0.002465425,0.000117593,0.0003894661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009004927,0.0004829741,0.0000166987,0.00008593413,0.000224811,0.0009527106,0.00003187357,0.00005185702,0.0001715953,0.00001140266,0.9976693,0.0002107866],"study_design_scores_gemma":[0.0009832865,0.00006158723,0.00001624603,0.00004924583,0.0003099461,0.0001438468,0.00008873397,0.000007372299,0.0001434899,0.0001177829,0.99705,0.001028471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009371305,0.001433684,0.000001848289,0.0003525448,0.002092873,0.0006195787,0.9948857,0.0004855033,0.00003453206],"genre_scores_gemma":[0.000003506337,0.0002689284,0.000180464,0.0007481155,0.0009990149,0.0002410391,0.9893947,0.0003052622,0.007859034],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01471349,"threshold_uncertainty_score":0.9992363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752476898675261,"score_gpt":0.2666192351453762,"score_spread":0.2490944661586236,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}